Earthquake Damage Assessment of Buildings Using VHR Optical and SAR Imagery

By Dominik Brunner, Guido Lemoine, Lorenzo Bruzzone. IEEE Transactions on Geoscience and Remote Sensing, 2010

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Fast and Robust Matching for Multimodal Remote Sensing Image Registration (2019, background): “Since these multimodal data can provide complementary information for earth observation, they have been widely used in many applications, such as land-cover and land-use analysis [1], change detection [2], image fusion [3], and damage monitoring [4].”
A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images (2018, methodology): “A method for building damage assessment was proposed in [6].”
Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art (2019, background): “[165] D.”
A Novel Framework for the Design of Change-Detection Systems for Very-High-Resolution Remote Sensing Images (2013, background): “From 2007, it is also possible to acquire satellite Synthetic Aperture Radar (SAR) images with resolution up to 1m, thanks to the COSMO-SkyMed constellation and the TerraSAR-X and Tandem-X missions.”
A comprehensive review of earthquake-induced building damage detection with remote sensing techniques (2013, methodology): “Brunner et al. (2010) proposed a method for damage detection at the building level using pre-event QuickBird imagery and post-event TerraSAR-X imagery. In this method, the parameters of a building were estimated from the pre-event optical imagery firstly; then the expected signature of the building ”